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Optimization of a pharmaceutical tablet formulation based on a design space approach and using vibrational spectroscopy as PAT tool

机译:基于设计空间方法和使用振动光谱作为PAT工具的药剂片剂的优化

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摘要

The aim of the present study was to optimize a tablet formulation using a quality by design approach. The selected methodology was based on the variation of the filler grade, taking into account the particle size distribution (PSD) of active pharmaceutical ingredient (API) in order to improve five critical quality attributes (CQAs). Thus, a mixture design of experiments (DoE) was performed at pilot scale. The blending step was monitored using near infrared (NIR) spectroscopy as process analytical technology tool enabling real-time qualitative process monitoring. Furthermore, some tablets were analyzed by Raman imaging to evaluate the API distribution within the samples. Based on the DoE results, design spaces were computed using a risk-based Bayesian predictive approach to provide for each point of the experimental domain the expected probability to get the five CQAs jointly within the specifications in the future. Finally, the optimal conditions of the identified design space were successfully validated. In conclusion, a design space approach supported by NIR and Raman spectroscopy was able to define a blend that complies with the target product profile with a quantified guarantee or risk. (C) 2015 Elsevier B.V. All rights reserved.
机译:本研究的目的是通过设计方法使用质量来优化片剂配方。所选择的方法基于填料等级的变化,考虑到活性药物成分(API)的粒度分布(PSD),以改善五个关键质量属性(CQAS)。因此,在先导尺度下进行实验(DOE)的混合设计。使用近红外线(NIR)光谱监测混合步骤作为工艺分析技术工具,实现实时定性过程监控。此外,通过拉曼成像分析一些片剂以评估样品内的API分布。基于DOE结果,使用基于风险的贝叶斯预测方法计算设计空间,以提供实验域的每个点,预期概率将在未来的规格内联合获得五个CQAS。最后,已成功验证了所识别的设计空间的最佳条件。总之,NIR和拉曼光谱支持的设计空间方法能够定义符合目标产品轮廓的混合物,具有量化的保证或风险。 (c)2015 Elsevier B.v.保留所有权利。

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